Understanding the voltage inconsistency features in lithium-ion battery module

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS Journal of energy storage Pub Date : 2025-02-27 DOI:10.1016/j.est.2025.116007
Bin Gou , Yanyun He , Peifeng Huang , Wei Zhang , Yuezhi Zhang , Zhonghao Bai
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Abstract

Abusive behaviors can induce voltage inconsistency due to their influence on the basic properties of battery cells. The extraction and identification of voltage inconsistency characteristics serve as vital methods for conducting safety risk assessments and early warnings of batteries. However, the inconsistency features caused by variations in cell's basic properties and various abusive behaviors remain unclear. To address this, a series of battery module cycling tests were conducted to comprehensively analyze inconsistency features and quantify these features using mean normalization (MN) and coefficient of consistency variation methods. Some inconsistency features such as “V-type” and “Λ-type” features, sharp fall feature, and continuous increase of deviation feature, that caused by the variation of initial SOC, capacity, and resistance were captured and quantitatively analyzed. Moreover, the inconsistency features of mechanical deformation, overcharge, over-discharge and low-temperature operation were investigated. “V-type” feature and sharp fall of MN value feature can be found in mechanical deformation, overcharge, and low-temperature operation at 0.5C-rate. For the cell with 6.8 mm indentation depth, the ISC induced continuous increase of low voltage deviation with cycling was also characterized. For low-temperature operation at high C-rates, the “V-type” feature vanished but the sharp fall feature aggravated. These results provide insight into understanding voltage inconsistency features and highlight new directions for safety risk assessment.
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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